Portal for ArcGIS

Find Point Clusters

In this topic

The Find Point Clusters tool
finds clusters of point features in surrounding noise based on their spatial distribution.

Workflow diagram

Analysis using
GeoAnalytics Tools

Analysis using GeoAnalytics Tools is run using distributed processing across multiple ArcGIS GeoAnalytics Server machines and cores. GeoAnalytics Tools and standard feature analysis tools in ArcGIS Enterprise have different parameters and capabilities. To learn more about these differences, see Feature analysis tool differences.

Example

Note:

The Find Point Clusters tool is available with ArcGIS Enterprise 10.6.1.

A non-governmental organization is studying a particular pest-borne
disease and has a point dataset representing households in a
study area, some of which are infested, some of which are not. Using the Find Point Clusters tool, an analyst can determine clusters of
infested households to help pinpoint an area to begin treatment and
extermination of pests.

Usage notes

The input for Find Point Clusters is a single point layer.

Clustering uses an algorithm called DBSCAN. This method uses a specified distance to seed separate dense clusters from sparse noise. This method requires that all meaningful clusters have similar densities.

The Minimum number of points to be considered a cluster parameter determines the minimum number of points that must be found in proximity of each other seed a cluster. If fewer points are found within the range, the points will be dedicated as noise.

The Limit the search range to parameter sets a limit to the search range. Any points found outside the limit will be dedicated as noise.

Similar tools

Use Find Point Clusters to find clusters of point features in surrounding noise based on their spatial distribution. Other tools that may be useful are the following:

Map Viewer analysis tools

To determine if there is any statistically significant clustering in the spatial pattern of your data, use the Find Hot Spots tool.

To create a density map of your point or line features, use the Calculate Density tool.

To determine if there are any statistically significant outliers in the spatial pattern of your data, use the Find Outliers tool.